Objectives: to propose quality indicators for clinical nursing documentation.
Methods: methodological study in which literature review guided the composition of an instrument for evaluating nursing documentation. Two independent professionals evaluated 204 medical records of adult patients. The analysis of this assessment generated quality indicators for clinical nursing documentation. Inter-rater agreement was analyzed by Cohen's kappa.
Results: the bibliographic review, analysis by experts and pre-test resulted in 88 evaluation items distributed in seven topics; in 88.5% of the items, inter-rater agreement between strong and almost perfect (k=0.61-1.0) was observed. Analysis of the evaluations generated a global indicator and seven partial indicators of documentation quality. Compliance in the two services ranged between 62.3% and 93.4%. The global indicator showed a 2.1% difference between services.
Conclusions: seven quality indicators of clinical nursing documentation and their method of application in hospital records have been proposed.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1590/0034-7167-2020-1355 | DOI Listing |
Curr Pharm Des
January 2025
Department of Pharmacology, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India.
Diabetic Neuropathy (DN) is a widespread and severely debilitating consequence of diabetes mellitus that impairs function, causes discomfort, and damages peripheral nerves. Numerous molecular pathways are involved in the pathogenesis of DN, including cyclooxygenase, polyol, protein kinase C, and inflammatory pathways. These molecular pathways may be responsible for the mechanism behind the onset and development of DN.
View Article and Find Full Text PDFEnviron Geochem Health
January 2025
Institute of Geophysical and Geochemical Exploration, Chinese Academy of Geological Sciences, No. 84, Jinguang Road, Langfang, 065000, China.
Selenium (Se) is an essential element for humans, playing a critical role in the functioning of the immune system. The global prevalence of dietary Se deficiency is a significant public health concern, largely attributed to the low levels of Se present in crops. The sufficient Se in plants and humans is determined by the presence of stable Se sources in the soil.
View Article and Find Full Text PDFSpec Care Dentist
January 2025
Cerebral Palsy Alliance Research Institute, Specialty of Child & Adolescent Health, Sydney Medical School, Faculty of Medicine & Health, The University of Sydney, Sydney, Australia.
Aims: To investigate caregiver-reported dental care experiences and oral health-related quality of life (OHRQoL) of children and young people with cerebral palsy (CP).
Methods: Between May and August 2023, caregivers of children and young people from three Australian states were invited to complete questionnaires, including the Child Oral Health Impact Profile (COHIP-SF 19).
Results: Sixty-eight caregivers participated in the survey.
Immunol Rev
January 2025
Signaling Research Centers BIOSS and CIBSS, University of Freiburg, Freiburg, Germany.
Rather than being contained in a single polypeptide, and unlike receptor tyrosine kinases, the T cell receptor (TCR) divides its signaling functions among its subunits: TCRα/β bind the extracellular ligand, an antigenic peptide-MHC complex (pMHC), and the CD3 subunits (CD3γ, CD3δ, CD3ε, and CD3ζ) transmit this information to the cytoplasm. How information about the quality of pMHC binding outside is transmitted to the cytoplasm remains a matter of debate. In this review, we compile data generated using a wide variety of experimental systems indicating that TCR engagement by an appropriate pMHC triggers allosteric changes transmitted from the ligand-binding loops in the TCRα and TCRβ subunits to the cytoplasmic tails of the CD3 subunits.
View Article and Find Full Text PDFJ Ovarian Res
January 2025
Reproductive Medicine Center, Department of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting women of reproductive age. It is characterized by symptoms such as hyperandrogenemia, oligo or anovulation and polycystic ovarian, significantly impacting quality of life. However, the practical implementation of machine learning (ML) in PCOS diagnosis is hindered by the limitations related to data size and algorithmic models.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!